Research with AI

Run a web-search-backed AI prompt to answer a question with current sources, one prompt at a time or across an entire Parvenu list.

Research with AI runs your prompt through a web-search-backed model and returns the answer. Use this for questions that need live sources from the open web: recent funding, current headcount claims, news mentions.

For copy generation that does not need web search, use Personalize with AI. To answer questions from a company's own website rather than the open web, use Scrape Website with AI.

Endpoints

• Individual Lookup: pass one finished prompt, get the answer back in the response. Synchronous.

• List Lookup: pass a listname and a prompt template; the API runs it against every row and writes the answer to the research_with_ai column. Asynchronous.

Use Cases

• Ground personalization in current facts instead of stale data. Run this first, then reference the research_with_ai column from Personalize with AI for outreach copy backed by real, current sources.

• Score or segment a list on facts that change over time. Recent funding, headcount claims, or news mentions age quickly, this pulls current answers instead of relying on data captured when the list was built.

Costs 1 credit per row, charged only when the model returns text.